Link Prediction On Wn18

평가 지표

Hits@1

Hits@10

Hits@3

MRR

평가 결과

이 벤치마크에서 각 모델의 성능 결과

비교 표

모델 이름	Hits@1	Hits@10	Hits@3	MR	MRR
quaternion-knowledge-graph-embedding	0.945	0.959	0.954	162	0.95
nscaching-simple-and-efficient-negative	-	0.9398	-	1072	0.9355
analyzing-knowledge-graph-embedding-methods	0.931	0.956	0.950	-	0.941
rotate-knowledge-graph-embedding-by	0.942	0.957	0.950	254	0.947
rotate-knowledge-graph-embedding-by	0.944	0.959	0.952	309	0.949
graphvite-a-high-performance-cpu-gpu-hybrid	0.944	0.954	0.950	412	0.948
knowledge-graph-embedding-with-linear	0.947	0.961	0.955	170	0.952
augmenting-and-tuning-knowledge-graph	-	-	-	-	0.911
multi-partition-embedding-interaction-with	0.946	0.957	0.952	-	0.950
adaptive-convolution-for-multi-relational	0.947	0.958	0.955	-	0.951
convolutional-2d-knowledge-graph-embeddings	0.935	0.956	0.946	374	0.943
hypernetwork-knowledge-graph-embeddings	0.947	0.958	0.955	-	0.951
kbgan-adversarial-learning-for-knowledge	-	0.948	-	-	0.779
tucker-tensor-factorization-for-knowledge	0.949	0.958	0.955	-	0.953
pykeen-1-0-a-python-library-for-training-and	-	-	-	-	-
quatde-dynamic-quaternion-embedding-for	0.944	0.961	0.954	120	0.95
holographic-embeddings-of-knowledge-graphs	0.930	0.949	0.945	-	0.938
knowledge-graph-embedding-via-dynamic-mapping	-	0.922	-	212	-
augmenting-compositional-models-for-knowledge	.931	.951	.945	183	.939
efficient-parallel-translating-embedding-for	-	0.668	-	215	-
dense-an-enhanced-non-abelian-group	0.945	0.959	0.954	285	0.950
embedding-entities-and-relations-for-learning	0.728	0.936	0.914	902	0.822
autokge-searching-scoring-functions-for	-	0.961	-	-	0.952
multi-partition-embedding-interaction-with	0.946	0.960	0.953	-	0.951
complex-embeddings-for-simple-link-prediction	0.936	0.947	0.936	-	0.941
representation-learning-with-ordered-relation	-	0.957	-	199	-
auggan-cross-domain-adaptation-with-gan-based	-	0.7987	-	-	-
simple-embedding-for-link-prediction-in	0.939	0.947	0.944	-	0.942
pykeen-1-0-a-python-library-for-training-and	-	-	-	-	-
canonical-tensor-decomposition-for-knowledge	-	0.96	-	-	-
discriminative-gaifman-models	0.761	0.939	-	352	-
pykeen-1-0-a-python-library-for-training-and	-	-	-	-	-
logicenn-a-neural-based-knowledge-graphs	-	0.948	-	357	0.923
convolutional-2d-knowledge-graph-embeddings	0.953	0.964	0.964	740	0.963
mde-multi-distance-embeddings-for-link	-	0.956	-	118	0.871
translating-embeddings-for-modeling-multi	-	0.754	-	263	-
analogical-inference-for-multi-relational	0.939	0.947	0.944	-	0.942